Employment of Computer and Information Research Scientists by state

The U.S. Bureau of Labor Statistics publishes National Industry-Specific Occupational Employment and Wage Estimates.

The BLS estimated 24,580 persons were employed as “Computer and Information Research Scientists” in 41 states. The employment occupation code is 15-1111.

52 percent of all jobs were in 5 states: California, Virginia, Maryland, Texas and Massachusetts.

State

Employment

Percent

California

4,440

18.1%

Virginia

3,360

13.7%

Maryland

2,100

8.5%

Texas

1,660

6.8%

Massachusetts

1,480

6.0%

New Jersey

1,010

4.1%

Washington

960

3.9%

Pennsylvania

950

3.9%

New York

840

3.4%

Illinois

790

3.2%

Florida

730

3.0%

Ohio

720

2.9%

Georgia

670

2.7%

Alabama

560

2.3%

Colorado

360

1.5%

Rhode Island

360

1.5%

North Carolina

290

1.2%

Arizona

280

1.1%

District of Columbia

280

1.1%

Mississippi

270

1.1%

Utah

270

1.1%

Connecticut

240

1.0%

Tennessee

220

0.9%

South Carolina

210

0.9%

New Mexico

190

0.8%

Michigan

170

0.7%

Minnesota

170

0.7%

Oklahoma

150

0.6%

Missouri

100

0.4%

Wisconsin

100

0.4%

Idaho

90

0.4%

Delaware

80

0.3%

Hawaii

80

0.3%

Kansas

70

0.3%

Arkansas

60

0.2%

New Hampshire

60

0.2%

Oregon

60

0.2%

Nebraska

50

0.2%

Louisiana

40

0.2%

Iowa

30

0.1%

South Dakota

30

0.1%

Indiana

no estimate

Kentucky

Maine

Montana

no data

Nevada

North Dakota

Vermont

West Virginia

The following table compares the employment of Computer and Information Research Scientists to employment in all occupations. Five states have more than 40 jobs for Computer and Information Research Scientists per 100,000 employees: Virginia, Maryland, Rhode Island, Massachusetts and the District of Columbia.

State

15-1111, Computer and Information Research Scientists

All employment

15-1111 per 100,000 employment

Virginia

3,360

3,527,350

95.3

Maryland

2,100

2,462,470

85.3

Rhode Island

360

448,150

80.3

Massachusetts

1,480

3,119,100

47.4

District of Columbia

280

639,390

43.8

Washington

960

2,693,220

35.6

California

4,440

14,001,730

31.7

Alabama

560

1,807,480

31.0

New Jersey

1,010

3,770,550

26.8

Mississippi

270

1,070,820

25.2

New Mexico

190

777,560

24.4

Utah

270

1,148,520

23.5

Delaware

80

397,730

20.1

Georgia

670

3,744,740

17.9

Pennsylvania

950

5,483,220

17.3

Colorado

360

2,157,690

16.7

Texas

1,660

10,089,870

16.5

Idaho

90

594,750

15.1

Connecticut

240

1,598,640

15.0

Ohio

720

4,921,690

14.6

Illinois

790

5,528,420

14.3

Hawaii

80

571,630

14.0

South Carolina

210

1,746,820

12.0

Arizona

280

2,367,120

11.8

Florida

730

7,103,950

10.3

Oklahoma

150

1,483,760

10.1

New York

840

8,344,020

10.1

New Hampshire

60

603,420

9.9

Tennessee

220

2,569,420

8.6

South Dakota

30

387,590

7.7

North Carolina

290

3,772,780

7.7

Minnesota

170

2,562,450

6.6

Nebraska

50

901,690

5.5

Kansas

70

1,304,780

5.4

Arkansas

60

1,135,560

5.3

Michigan

170

3,755,890

4.5

Missouri

100

2,588,450

3.9

Wisconsin

100

2,608,740

3.8

Oregon

60

1,569,700

3.8

Louisiana

40

1,832,830

2.2

Iowa

30

1,438,510

2.1

Alaska

308,050

0.0

Indiana

**

2,724,850

Kentucky

1,716,060

0.0

Maine

577,410

0.0

Montana

424,300

0.0

Nevada

1,113,530

0.0

North Dakota

355,710

0.0

Vermont

286,990

0.0

West Virginia

688,170

0.0

Wyoming

269,910

0.0

Guam

59,560

0.0

Puerto Rico

950,570

0.0

Virgin Islands

42,700

0.0

I was curious has to how employment in this sector was correlated with state unemployment rates. This is the comparison for May-June 2010. The short answer is that the two series are not correlated. The R^2 for an OLS regression is just .01.

This is a BLS map of the location quotient[*] for occupation code 15-1111.

(*) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

This entry was posted
on Wednesday, August 10th, 2011 at 10:26 pm and is filed under Computers and Software, Economics.
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